全新一代 IRON 机器人将于年底启动量产，是「满足车规级标准的 AI 智能体」，目标成为「全球第一个规模量产的高阶人形机器人」；
"ANTHROPIC_BASE_URL": "https://open.bigmodel.cn/api/anthropic",
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Why scientists fear Emperor penguins' annual moult may be killing them
I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.